MATLAB Implementation and Visualization of Autocorrelation and Cross-Correlation Functions
Comprehensive guide to computing and plotting autocorrelation and cross-correlation functions using MATLAB with code implementation examples
Cross-Correlation Function Calculation for Two Sequences: Implementation and Noise Analysis
Computational methods for cross-correlation functions between two sequences and auto-correlation functions for single sequences, with demonstrations of effects under varying noise power levels using MATLAB implementations.
MATLAB Image Stitching Implementation Using Cross-Correlation for Automated Feature Matching
Image stitching technique utilizing cross-correlation functions for automated matching point detection and seamless panorama creation.
Speech Recognition for Digits 0-9 Based on MATLAB
This project implements speech recognition for passwords composed of digits 0-9 by calculating the cross-correlation function between two signals and their corresponding variance, using maximum variance as the discrimination threshold. Signal preprocessing is essential and includes FIR filter-based pre-emphasis and endpoint detection using short-term average energy and zero-crossing rate methods to extract useful signals. These preprocessing steps maximize recognition accuracy. The cross-correlation function, which quantifies signal similarity, helps differentiate test signals from template signals. In MATLAB implementation, key functions like xcorr() for cross-correlation calculation and var() for variance computation are utilized, while preprocessing involves designing FIR filters with fir1() and implementing energy/zcr-based endpoint detection algorithms.
Signal Power Spectrum Estimation Using Correlation Functions
Computing signal power spectrum through correlation functions, including autocorrelation for signal self-similarity analysis and cross-correlation for inter-signal relationship assessment.
Computing Convolution and Cross-Correlation Function Between Two Sequences
Calculating convolution and cross-correlation functions between two sequences, or computing autocorrelation functions for individual sequences, with implementation insights
Calculation of Estimated Values for Sample Cross-Correlation Function and Cross-Covariance
Estimation Methods for Sample Cross-Correlation Function and Cross-Covariance with Python/MATLAB Implementation Guidelines
Two Programs Related to Cross-Correlation Functions
Two Programs Implementing Cross-Correlation Functions and Time Shift Calculations
Cross-Correlation Function-Based Time Delay Estimation for Sound Source Localization Algorithms
Implementation of time delay estimation using cross-correlation functions for acoustic source localization algorithms, with enhanced code-level performance optimizations